Top Technical Program Manager Jobs in San Francisco Bay Area, CA

Leads complex technical programs supporting card technology and digital commerce platforms. Establishes TPM operating models, maturity frameworks, and tooling; develops roadmaps; aligns architecture and cross-platform investments; manages dependencies and delivery accountability across engineering teams; and escalates risks to executives. The role defines measurable platform outcomes, drives standardization and reuse, influences tradeoffs among speed, cost, and resiliency, and helps build the organization’s TPM discipline.

Leads complex technical programs and cross-platform initiatives across Capital One’s card technology portfolio. Establishes TPM operating models, roadmaps, maturity frameworks, and scalable tooling; aligns architecture and dependencies; manages risks and executive escalations; and drives measurable platform outcomes across engineering teams. Requires strong experience with distributed systems, cloud architecture, Agile delivery, regulated environments, organizational influence, and large-scale technical program execution.

Leads large-scale, technically complex programs across enterprise platforms. Drives roadmaps, architectural alignment, platform consolidation, dependency resolution, risk escalation, and measurable outcomes across engineering teams. Establishes TPM operating models, maturity frameworks, and tooling while influencing technology leaders and translating technical tradeoffs into business outcomes.

Leads complex, cross-functional technology programs on the ServiceNow platform. Responsibilities include developing strategic plans, managing resources, budgets, timelines, risks, dependencies, and stakeholders; validating AI-assisted program outputs; driving process improvements; establishing governance and decision-making procedures; and delivering executive-ready roadmaps, reporting, and recommendations across global operations.

Leads large-scale technical programs and platform initiatives focused on resiliency, reliability, scalability, and operational efficiency. Establishes TPM strategies, operating models, maturity frameworks, and tooling; drives roadmaps, architectural alignment, investment planning, and cross-team delivery. Acts as an executive escalation point, manages risks and tradeoffs, defines measurable outcomes, and builds TPM capability across engineering organizations.

Leads enterprise technical programs and cross-platform investment planning, aligning roadmaps, architecture, dependencies, risks, and measurable platform outcomes. Establishes TPM operating models, maturity frameworks, tooling, and delivery accountability across engineering teams. Serves as an executive escalation point, influences tradeoffs involving speed, cost, and resiliency, and develops TPM capabilities across the organization. Requires extensive experience managing complex technical programs, distributed systems, cloud platforms, Agile delivery, and highly regulated environments.

Staff Technical Program Manager will lead execution for emerging AI-native products from discovery through general availability. Responsibilities include coordinating engineering pods and cross-functional teams, defining milestones and launch-readiness criteria, managing risks and dependencies, establishing operating cadences and health metrics, improving program-management systems, and coaching technical leaders and peer program managers. The role requires strong technical judgment, comfort with ambiguity, executive communication, and experience launching products in emerging-technology environments.

Leads cross-functional infrastructure programs across cloud infrastructure, FinOps, security operations, build systems, and software migrations. Owns planning through completion, manages concurrent workstreams, establishes program-health reporting, escalates risks and capacity issues, develops technical roadmaps, and improves coordination and automation across engineering and infrastructure teams.

Leads end-to-end hardware program delivery from early R&D and proof-of-concept development through NPI and mass production. Partners with engineering, product, growth, suppliers, and executives to define requirements, manage phase gates, integrate edge AI and on-vehicle systems, mitigate supply chain and reliability risks, and ensure timely, high-quality product launches.

Lead complex technical programs from planning through launch, adoption, and iteration. Coordinate product, design, engineering, data, and People teams; manage dependencies, risks, decisions, and launch readiness. Own user onboarding, training, support, feedback loops, adoption metrics, and change management. Translate user insights and operational data into recommendations, improve execution practices, and provide leadership with portfolio updates.

Own network delivery programs for data center site activations, ensuring structured cabling, optics, switches, routers, circuits, and vendor integrations meet launch schedules. Define network readiness gates and acceptance criteria, coordinate engineering, operations, deployment, supply chain, and external partners, and manage risks, incidents, corrective actions, and vendor performance across the site fleet. The role requires 50% travel.

Leads large-scale technical programs and builds highly scalable products and platforms. Responsibilities include identifying technical risks, guiding technology decisions with senior leadership, developing TPM teams and practices, simplifying complex technical issues, coordinating cross-functional stakeholders, and ensuring execution, accountability, and business impact across complex programs.

Lead cross-functional electromechanical hardware programs for robotic and data-collection systems, from requirements and prototyping through validation and early production. Coordinate mechanical, electrical, test, manufacturing, supply chain, firmware, and research teams. Drive system integration, design reviews, change control, calibration, reliability, DFM/DFA, production readiness, field-failure resolution, and tradeoff decisions involving performance, quality, cost, schedule, and scalability.

Drive execution of an omnichannel roadmap across engineering, product, supply chain, and retail operations. Manage multiple complex projects from concept through launch, align technical designs, resolve dependencies across web, mobile, backend, and logistics teams, report program health to executives, and facilitate Agile planning and governance.

Leads global Applied AI Engineering programs from planning through rollout and ongoing operations. Manages milestones, dependencies, risks, regional execution, leadership updates, and performance tracking. Shapes industry strategy, adoption campaigns, technical workshops, partner initiatives, API demos, blueprints, and enablement playbooks. Improves internal operating mechanisms, workflows, tooling, dashboards, success metrics, and reporting while coordinating AIE, Sales, Product, engineering, leadership, and ecosystem partners.

Leads complex technical programs across Product, Engineering, and Data Science, managing dependencies, risks, roadmaps, resources, and stakeholder alignment. Partners with engineering teams on architectural solutions, drives execution velocity, improves program processes, and establishes data-driven KPIs. Requires technical understanding of distributed systems, product development lifecycles, documentation, automation, and senior-level communication. Preferred experience includes software engineering, logistics or delivery businesses, analytics tools, and professional certifications.

Own the triage program for autonomous vehicle fleet and simulation events. Lead defect classification and routing, monitor triage metrics, manage intake and escalations, coordinate tooling and automation, and forecast quarterly capacity across internal and vendor teams. Partner with software, QA, safety, product, vehicle operations, and program management stakeholders to improve accuracy, throughput, automation, and issue resolution.

Own execution framework for satellite programs: build schedules, manage dependencies and resources, surface risks, translate engineering roadmaps into release plans, coordinate cross-functional teams, and support prioritization, staffing, and bid decisions to ensure on-time delivery of hardware and software.

Drive Shopping catalog and indexing technical programs from planning through completion. Manage engineering owners, timelines, dependencies, working-team cadences, dashboards, reporting, and cross-functional stakeholder communication. Use GenAI, data analysis, lightweight tools, and workflow automation to improve execution, surface risks, and support decisions while following AI governance, safety, validation, and compliance requirements.

Leads and mentors a team of Technical Program Managers within GitLab Engineering’s centralized PMO. Responsibilities include staffing and resource alignment, establishing program management standards, developing the PMO strategy, partnering with Engineering, Product, Security, and GTM stakeholders, mitigating risks, tracking KPIs, and improving organizational planning and delivery processes.

Own end-to-end delivery programs for robotics and embodied AI datasets. Coordinate Sales, Data Operations, Labeling, and Engineering to meet customer specifications, volumes, quality standards, and timelines. Build scripts, QA checks, packaging tools, manifests, dashboards, and reporting to automate delivery workflows. Define dataset standards, monitor metrics, manage escalations, and serve as a senior customer-facing delivery lead for AI-lab accounts.

Lead multi-quarter data platform modernization programs involving streaming ingestion, table format migrations, workflow consolidation, and legacy system deprecation. Coordinate cross-functional engineering teams, manage dependencies and risks, build dashboards, validate efficiency savings, communicate status to leadership, and apply GenAI to improve program execution, workflows, and decision-making while meeting AI governance requirements.

Manage infrastructure capacity and efficiency programs, tracking execution, schedules, risks, and stakeholder communications. Partner with engineering teams on cloud usage, cost optimization, right-sizing, utilization, and waste reduction. Use AI, dashboards, data analysis, scripting, and workflow improvements to streamline program operations and decision-making. Support governance, validation, auditability, and responsible AI use while collaborating with senior technical program managers and infrastructure partners.

Lead finance technology programs spanning product launches, quote-to-cash, record-to-report, ERP, billing, revenue systems, data flows, and IT general controls. Translate finance requirements into roadmaps, coordinate Finance, Accounting, Engineering, Data, Security, and Audit stakeholders, improve reconciliation and data lineage, manage risks and workarounds, and ensure systems and controls are auditable. Build AI-assisted workflows with quality evaluation and human review controls.

Owns end-to-end release management for the C3 Agentic AI Platform, including scope, scheduling, readiness criteria, risk management, go/no-go decisions, deployment, rollback, incident resolution, communications, tooling, metrics, retrospectives, and process improvements. The role partners with engineering, product, data science, quality, infrastructure, and cloud operations teams to deliver reliable enterprise AI platform releases.